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studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry
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, the research investigates how the inclusion of AI elements—such as LLMs challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches
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collaboration with society go hand in hand? At the Division of Computer and Systems Science, you will be part of a creative and dynamic environment with modern technical infrastructure, well-equipped facilities
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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science, computer programming or related field with a genuine passion for transport challenges and innovation. This eligibility requirement must be met no later than the time the employment decision is made
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comprises 10 closely connected research projects and a joint doctoral training program. Project description The project aims to develop new theories and methods for enhancing the security of control systems
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of your thesis. Experience of working with optimisation methods, long-term modelling of the forest landscape and its ecosystem services, as well as computer-based decision support systems in general
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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out and update its knowledge base (i.e. update learning). Also writing scientific papers and communicating our research advances in conferences. Methods: programming a humanoid platform using ROS2
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experience in advanced computer programming and/or the use of Gen-AI for object detection or similar. Experience in computational methods to study chemical or physical processes. Scientific publications in